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Energy Consumption in Ad Hoc Network With Agents Minimizing the Number of Hops and Maintaining Connectivity of Mobile Terminals Which Move from One to the Others
Kohei Arai, Lipur Sugiyanta
Pages - 71 - 86     |    Revised - 01-05-2011     |    Published - 04-04-2011
Volume - 3   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
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KEYWORDS
Energy, Agents, Connectivity, Multi-Hop
ABSTRACT
Wireless mobile ad-hoc network (MANET) is a special kind of network, where all of the nodes move in time. Node is intended to help relaying packets of neighboring nodes using multi-hop routing mechanism in order to solve problem of dead communication. MANET which engages broadcasting and contains multiple hops becomes increasingly vulnerable to problems such as mobile node’s energy degradation, routing problem and rapid increasing of overhead packets. This paper provides an extensive study of energy consumption in the MANET that consists of several network areas with the presence agents. Agents will minimize number of hops and its affect in linearity with the delay. As nodes grow, either in data transmission services or coverage of node’s communication or more agents stand in overlapped locations, accordingly data exchange and topology development to adapt the network are becoming an important issue. As a result, agents are needed to support process automation, high-level connectivity and intelligent service on that such environment. We evaluate the agents’ performance and network energy consumption for supporting MANET. The proposed agents provides service packets transmission between networks; e.g. determine appropriate relay nodes dynamically, maintain the transmission between networks through another nodes, share the topology knowledge among agents, and route packets between source and final destination that are unable to communicate directly. The achievement on research with this approach is conducted via simulation study. A similar network without agents is presented to derive such referential bounds by using appropriate functions of network agents. The proposed algorithm is confirmed with composite simulation results.
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Professor Kohei Arai
Saga University - Japan
arai@is.saga-u.ac.jp
Mr. Lipur Sugiyanta
- Indonesia